| 1 |
Physics-informed deep learning for data-driven solutionsof computational fluid dynamics
Choi S, Jung I, Kim H, Na J, Lee JM
Korean Journal of Chemical Engineering, 39(3), 515, 2022 |
| 2 |
A MULTI-PHYSICS COMPUTATIONAL INVESTIGATION OF DROPLET PATHOGEN TRANSPORT EMANATING FROM SYNTHETIC COUGHS AND BREATHING
Domino SP, Pierce F, Hubbard J
Atomization and Sprays, 31(9), 1, 2021 |
| 3 |
Influence of Insulation Thermal Aging on the Temperature Assessment in Electrical Machines
Madonna V, Giangrande P, Galea M
IEEE Transactions on Energy Conversion, 36(1), 456, 2021 |
| 4 |
Structural and thermal analysis of an innovative baking furnace for carbon anode production
Zheng SY, Rao ZH, Liao SM
International Journal of Energy Research, 45(5), 6907, 2021 |
| 5 |
Data-driven physics-informed constitutive metamodeling of complex fluids: A multifidelity neural network (MFNN) framework
Mahmoudabadbozchelou M, Caggioni M, Shahsavari S, Hartt WH, Karniadakis GE, Jamali S
Journal of Rheology, 65(2), 179, 2021 |
| 6 |
RIVERS BELCH CARBON UNDER COVER OF DARKNESS
[Anonymous]
Nature, 592(7856), 662, 2021 |
| 7 |
Restricted Data: The History of Nuclear Secrecy in the United States
Weinberger S
Nature, 592(7855), 505, 2021 |
| 8 |
IS THE STANDARD MODEL BROKEN? PHYSICISTS CHEER MAJOR MUON RESULT
Castelvecchi D
Nature, 592(7854), 333, 2021 |
| 9 |
Quantum computing's reproducibility crisis: Majorana fermions
Frolov S
Nature, 592(7854), 350, 2021 |
| 10 |
Accelerator-based light sources get a boost
Brynes A
Nature, 590(7847), 556, 2021 |
